{"slug":"catboost-catboost","name":"Catboost","description":"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.","tagline":"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.","category":"ml-automation","tags":["machine-learning","automation","ml-media","big-data","catboost","categorical-features","coreml","cuda","data-mining","data-science"],"author":{"name":"catboost","verified":true,"url":"https://github.com/catboost"},"stats":{"stars":8976,"forks":1300,"downloads":0,"rating":0,"review_count":0,"quality_score":69.37},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"9.0K","tone":"positive"},{"label":"Freshness","value":"Today","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Apache-2.0","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add catboost/catboost"},{"status":"pass","label":"Repository","detail":"https://github.com/catboost/catboost"},{"status":"pass","label":"License","detail":"Apache-2.0"},{"status":"pass","label":"Maintenance","detail":"Pushed today"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"9.0K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":[]},"audit":{"audit_score":97,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Workflow automation","role":"Primary pick","primary_fit":"Workflow automation","best_for":["Workflow automation workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Workflow automation task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["C++","Machine Learning","Claude Code"],"use_cases":[{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"}],"install":"npx skills add catboost/catboost","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add catboost/catboost","description":"Use the registry command when your workflow supports the OpenAgentSkill installer.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Catboost\" agent skill from https://github.com/catboost/catboost. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Catboost\" as a Claude Code skill from https://github.com/catboost/catboost. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Catboost\" from https://github.com/catboost/catboost into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. 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